基于信息熵的电力信息耦合网络重要节点评估

重要节点对网络的影响非常之大,极少数的重要节点就能使网络崩溃,在电力信息耦合网络中,不仅可以根据重要节点的顺序对其进行保护来减小网络的损失,还能在电力信息耦合网络崩溃后通过重要节点的顺序对网络进行恢复,所以识别重要节点有着非常重要的意义。针对此问题,结合电力信息耦合网络中两网络不同的特性,考虑电力网和通信网的互相影响,借鉴复杂网络理论,提出一种基于信息熵的重要节点识别方法,以网络效率相对值、网络受损程度为衡量指标,在静态和动态攻击下对重要节点方法进行验证,并用渗流理论对级联失效过程进行分析。以IEEE30、IEEE118节点系统对应的电力信息耦合网络为例,验证了该方法的有效性及优越性,为研究不同节点之间的相互作用提供了思路。

Evaluation of Important Nodes in Power Information Coupling Network Based on Information Entropy

Important nodes have a great impact on the network, and a very small number of important nodes can cause the network to collapse. In the power information coupling network, not only can important nodes be protected according to the order of them to reduce the loss of the network, but also in the power After the information coupling network collapses, the network is restored through the order of important nodes, so it is very important to identify important nodes. In response to this problem, combining the different characteristics of the two networks in the power information coupling network, considering the mutual influence of the power network and the communication network, and learning from the complex network theory, a method for identifying important nodes based on information entropy is proposed. The degree of damage is used as a measurement index. The important node method is verified under static and dynamic attacks, and the cascading failure process is analyzed using seepage theory. Taking the power information coupling network corresponding to IEEE30 and IEEE118 node systems as an example, the effectiveness and superiority of this method are verified, and it provides ideas for studying the interaction between different nodes.